This was posted 3 years 10 months 24 days ago, and might be an out-dated deal.

Related
  • out of stock

Synology DiskStation NAS, DS920+, 4-Bay; 4GB DDR4 $829 Delivered @ Amazon AU

180
This post contains affiliate links. OzBargain might earn commissions when you click through and make purchases. Please see this page for more information.

Average 15% performance boost to photo indexing and other computing-intensive operations, as well as database response time
Built-in M.2 2280 NVMe SSD slots permit cache acceleration without occupying storage drive bays

Price History at C CamelCamelCamel.

Related Stores

Amazon AU
Amazon AU
Marketplace

closed Comments

  • If you have recently purchased Amazon gift card with zip pay 10% off every Saturday promo, this comes down to $746 delivered, making it a sweeter deal. Although, 1-2 months of waiting time though.

    • Amazon usually restock sooner than its advertised waiting period

  • +2

    Average 15% performance boost to photo indexing

    what does this actually mean?

    • Assuming its a bump from the previous model, the 918+. And im assuming the photo indexing speed bump is using the synology photo app

      • Facial and subject recognition - does this actually work, given that Google requires data centre resources?

        • Got no idea what youre talking about?

        • How is google coming into equation?

          • @ujwols: “Synology Moments .. is designed to be a photo cataloguing and AI assisted search tool .. supports Facial recognition and Subject recognition .. will let you search for a person or subject, and it will actively LOOK at pictures to find relevant results.”

            this is what Google Photos attempts to do using ML, but using vast data centre resources.

            • @AlexF: Yet my action cam can also do facial recognition live. It’s not that hard to do the basics.

              • +2

                @Elijha: Ur AC, just finds face(s) in a scene, not specific people in 1000's of images.

        • Look up TensorFlow… pretty easy to implement and low resources.
          Essentially you create a Training Model, and then let the Estimator go an find them.

          You can run facial recog on a RPi, Android phone, etc…

          • @raybies: No doubt some ML packages can run on generic CPUs but how accurate with respect to lighting, angles, rotations, obstacles, occlusions, etc.? Adobe OCR is useless, and even Google OCR still fails occasionally.

  • Back in stock at $855. Not bad at all.

Login or Join to leave a comment